Prediction of magnetic remanence of NdFeB magnets by using novel machine learning intelligence approach - Support vector regression.
WenDe ChengPublished in: ICCI*CC (2014)
Keyphrases
- support vector regression
- machine learning
- magnetic field
- support vector machine
- load forecasting
- regression model
- forecasting accuracy
- support vector machine svm
- support vector
- hybrid model
- kernel function
- extreme learning machine
- pattern recognition
- back propagation neural network
- decision trees
- prediction model
- learning algorithm
- hybrid genetic
- support vector classification
- neural network
- response surface methodology
- nonlinear regression
- computer vision
- wavelet frame
- regression method
- text classification
- text mining
- ann models
- data mining
- prediction error
- wavelet neural network
- forecasting model
- computational intelligence
- image processing
- feature selection
- electronic equipment